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Record W2910538712 · doi:10.1161/jaha.118.010107

Cardiac biomarkers and left ventricular hypertrophy in relation to outcomes in patients with atrial fibrillation: Experiences from the RE-LY trial

2019· article· en· W2910538712 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIrInSubria (University of Insubria) · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsCardiologyInternal medicineMedicineAtrial fibrillationHazard ratioLeft ventricular hypertrophyNatriuretic peptideTroponinTroponin TProportional hazards modelStroke (engine)GDF15BiomarkerHeart failureMyocardial infarctionConfidence intervalBlood pressure

Abstract

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Background Cardiac biomarkers and left ventricular hypertrophy (LVH) are related to the risk of stroke and death in patients with atrial fibrillation. We investigated the interrelationship between LVH and cardiac biomarkers and their independent associations with outcomes. Methods and Results Plasma samples were obtained at baseline in 5275 patients with atrial fibrillation in the RE-LY (Randomized Evaluation of Long-Term Anticoagulation Therapy) trial. NT-proBNP (N-terminal pro-B-type natriuretic peptide), cardiac troponin I and T, and growth differentiation factor-15 were determined using high-sensitivity (hs) assays. LVH was defined by ECG. Cox models were adjusted for baseline characteristics, LVH, and biomarkers. LVHwas present in 1257 patients. During a median follow-up of 2.0 years, 165 patients developed a stroke and 370 died. LVHwas significantly (P<0.0001) associated with higher levels of all biomarkers in linear regression analyses adjusting for baseline characteristics. Geometric mean ratios (95% CIs) were as follows: NT-proBNP, 1.32 (1.25-1.38); hs cardiac troponin I, 1.67 (1.57-1.78); hs troponin T, 1.38 (1.32-1.44); and growth differentiation factor-15, 1.09 (1.05-1.12). For stroke, the hazard ratios (95% CIs) per 50% increase were as follows: NT-proBNP, 1.09 (1.00-1.19); hs cardiac troponin I, 1.09 (1.03-1.15); hs troponin T, 1.14 (1.06-1.24); and growth differentiation factor-15, 1.22 (1.08-1.38) (all P<0.05). For death, hazard ratios (95% CIs) were as follows: NT-proBNP, 1.24 (1.17-1.31); hs cardiac troponin I, 1.13 (1.10-1.17); hs troponin T, 1.28 (1.23-1.34); and growth differentiation factor-15, 1.31 (1.22-1.42) (all P<0.0001). LVH was not significantly associated with stroke or death after adjustment for biomarkers. Conclusions Cardiac biomarkers are significantly associated with LVH. The prognostic value of biomarkers for stroke and death is not affected by LVH. The prognostic information of LVH is attenuated in the presence of cardiac biomarkers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.232
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it